EY Lead Experience Strategist on Human-Centered AI Design and Ethical Technology Development

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How AI can truly serve humanity? In this podcast hosted by EY Platform Operations Lead Justin Leibow, EY Lead Experience Strategist Jasmine Orange will be speaking on human-centered AI design and ethical technology development. Jasmine shares insights on creating human-centered AI design that prioritize diversity, inclusivity, and user needs, drawing from her extensive design background and academic research in human-computer interaction. Learn how designers and technologists can ensure AI enhances rather than replaces human potential.

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Show Notes

  1. Transition from engineering to product management requires understanding customer and business problems
  2. Product management is a team responsibility, not a solo effort
  3. Empowering engineers by sharing customer research and data insights
  4. Simplify complex product challenges into clear, actionable problem statements
  5. Build roadmaps with flexibility, focusing on problem acknowledgment rather than specific feature promises
  6. Use short sprints to test and validate product hypotheses quickly
  7. Maintain high product velocity even in regulated or slow-moving industries
  8. Cultivate curiosity as the most critical skill for product leaders
  9. Break down large product deliverables into smaller, measurable milestones
  10. Continuously gather customer insights through surveys, interviews, and direct feedback
  11. Understand the customer’s journey and pain points across different business scales
  12. Scaling product innovation through customer curiosity requires actively listening and acknowledging customer challenges
  13. Use data and customer research to drive product decision-making
  14. Create a culture of independent product thinking within teams
  15. Adapt roadmaps based on evolving customer needs and technological shifts
  16. Focus on delivering solutions that solve real customer problems
  17. Encourage teams to ask “why” and seek deeper understanding
  18. Balance technical feasibility with customer experience
  19. Treat product development as a continuous learning and iteration process
  20. Prioritize customer success as the ultimate measure of product effectiveness

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